Director, AI-Driven Evidence Synthesis (Neuroscience)

Johnson & Johnson Co.; Spring House (PA); On-site; USD 164,000 - 283,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

401(k) and pension programs

Time off: vacation/sick/holiday

Job summary

Johnson & Johnson is seeking a Director of Data Science - AI Evidence Extraction to lead AI-enabled evidence extraction and synthesis for Neuroscience R&D across multiple US sites. This hands-on leader will design scalable workflows, establish data models, and ensure governance and responsible AI practices while partners across clinical, regulatory, and data teams.

The role focuses on building a provenance-bearing evidence store, enabling meta-analyses, and delivering measurable value for

Qualifications

• PhD in a relevant quantitative, clinical, or life-science field; or MS with additional relevant experience.
• 8+ years of experience in pharmaceutical, biotech, or healthcare analytics, with experience setting technical direction.
• Hands-on experience with systematic reviews, meta-analysis, or quantitative evidence synthesis.
• Experience with data modeling, scientific data curation, provenance, and quality control.

Responsibilities

• Set the strategy, roadmap, priorities, and measures of value for scientific evidence data capabilities, focused on Neuroscience.
• Build and deploy scalable AI-enabled workflows for evidence identification, extraction, curation, and analysis.
• Own delivery, investment decisions, and outcomes for AI-based scientific evidence extraction.
• Guide multidisciplinary delivery and mentor cross-functional contributors.
• Communicate priorities, tradeoffs, risks, progress, and impact to senior stakeholders.

Skills

Python

R

Cross-functional leadership

Software engineering practices

NLP

Data analysis

Education

PhD in quantitative/clinical/life-science

MS with relevant experience

Tools

NLP/AI tools

Job description

Johnson & Johnson is seeking a Director of Data Science - AI Evidence Extraction to lead AI-enabled evidence extraction and synthesis for Neuroscience R&D across multiple US sites. This hands-on leader will design scalable workflows, establish data models, and ensure governance and responsible AI practices while partners across clinical, regulatory, and data teams.

The role focuses on building a provenance-bearing evidence store, enabling meta-analyses, and delivering measurable value for